Researcher in Machine Learning for Complex Adaptive Systems

Researcher in Machine Learning for Complex Adaptive Systems

We are seeking a talented Researcher to join a team operating at the frontier of machine learning and complex adaptive systems. Our research thrives where traditional models fail: navigating low signal-to-noise environments, non-stationarity, and emergent behaviors in systems where controlled experiments are rarely possible.

If you are passionate about applying rigorous research to high-stakes, real-world domains -- including weather forecasting, energy market optimization, financial inference, and information dynamics, this is an opportunity to bridge the gap between theoretical innovation and tangible impact on the surrounding reality.

Key Requirements

• Education: PhD degree in Computer Science, Mathematics, Physics or a related field.
• Experience: Strong experience in Machine Learning and Deep Learning, experience in time series prediction is a plus.
• Track Record: A history of publications at well-known ML conferences.
• Technical Skills: Proficiency in Python and deep learning libraries (PyTorch).

How to Apply

To apply, simply email your documents (CV, projects/publications, and contact details for referees) to: Wyświetl e-mail na click.appcast.io